Postdoctoral or Doctoral Researcher in statistical signal processing.

A team of computer scientists at the University of Toronto recently discovered that a certain type of hardware attack is ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

Heart rate is one of the most basic and important indicators of health, providing a snapshot into a person's physical ...

PRNewswire/ -- "The AI in ESG & Sustainability Market Size reached US$ 182.34 billion in 2024 and is projected to reach US$ 846.75 billion by 2032, registering a robust CAGR of 21.16% during the ...

Semiconductors are vital for modern technology, but their production has a significant environmental impact. How can we cut ...

Celin, S. and Vasanth, K. (2018) ECG Signal Classification Using Various Machine Learning Techniques. Journal of Medical Systems, 42, Article No. 241.

Quantum machine learning takes classical data and encodes it in quantum states. The quantum computer can then uncover patterns in the data that would be hard for classical systems to detect.

In this work, we present an approach that integrates theoretical spectral calculations with machine learning to identify PAHs, an approach that can be extended straightforwardly to the thousands of ...

This similarity poses a significant challenge in development of signal processing, feature extraction and machine learning methods to optimize the CCA classification performance which will be reported ...

To meet the demand of modern application, modern machine learning and adaptive signal processing techniques are needed. With the help of revolutionary advancements in mobile communication such as 5G ...